Calculates Q2 predictive relevance statistics based on comparing predictions and real data.
A matrix or a data.frame containing the original data.
A matrix or a data.frame containing the predicted data that are compared against the original data to calculate the predictive relevance statistic.
There are two options for this argument: 1. lavaan script or lavaan parameter
table, or 2. a list containing three matrices
The Q2 statistic is calculated as
sse is the sum of
squared prediction errors based on comparison of the
sso is based on prediction with mean. If the predicted
data contain the
groups attribute, which indicates the groups used in blindfolding
or cross-validation, the means are calculated separately for each group excluding the
predicted group from the calculation.
A list with
indicator elements containing
the Q2 predictive relevance statistics for the full dataset, for each indicator block, and
for each indicator
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